This paper is in the following e-collection/theme issue:

JMIR Theme Issue: COVID-19 Special Issue (2452) Infodemiology and Infoveillance (1349) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Mass Media/Social Media Communication and Campaigns (461) Outbreak and Pandemic Preparedness and Management (1727) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517)

Published on in Vol 22, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19301, first published .
Creating COVID-19 Stigma by Referencing the Novel Coronavirus as the “Chinese virus” on Twitter: Quantitative Analysis of Social Media Data

Creating COVID-19 Stigma by Referencing the Novel Coronavirus as the “Chinese virus” on Twitter: Quantitative Analysis of Social Media Data

Creating COVID-19 Stigma by Referencing the Novel Coronavirus as the “Chinese virus” on Twitter: Quantitative Analysis of Social Media Data

Authors of this article:

Henna Budhwani1 Author Orcid Image ;   Ruoyan Sun1 Author Orcid Image
Article Authors Cited by (177) Tweetations (23) Metrics

Henna Budhwani   1 , MPH, PhD ;   Ruoyan Sun   1 , MHS, PhD

1 Department of Health Care Organization and Policy, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, United States

Corresponding Author:

  • Henna Budhwani, MPH, PhD
  • Department of Health Care Organization and Policy
  • School of Public Health
  • University of Alabama at Birmingham
  • 1720 University Blvd
  • RPHB #330C
  • Birmingham, AL, 35294
  • United States
  • Phone: 1 2059757613
  • Email: budhwani@uab.edu